Global Weibull: Difference between revisions

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*'''[[Bayesian_PriorDistribution]]''' {{Template:APIComment|Bayesian Distribution}}
*'''[[Bayesian_PriorDistribution]]''' {{Template:APIComment|Bayesian Distribution}}
*'''[[WeibullBestFitOptions]]''' {{Template:APIComment|Whether each weibull distribution is the best fit}}
*'''[[WeibullBestFitOptions]]''' {{Template:APIComment|Whether each weibull distribution is the best fit}}
*'''[[AllowExponential1 ]]''' {{Template:APIComment|Whether Exponential1 is the best fit option}}
*'''[[WeibullBestFitOptions.AllowExponential1 ]]''' {{Template:APIComment|Whether Exponential1 is the best fit option}}
*'''[[AllowExponential2 ]]''' {{Template:APIComment|Whether Exponential2 is the best fit option}}
*'''[[WeibullBestFitOptions.AllowExponential2 ]]''' {{Template:APIComment|Whether Exponential2 is the best fit option}}
*'''[[AllowNormal ]]''' {{Template:APIComment|Whether Normal is the best fit option}}
*'''[[WeibullBestFitOptions.AllowNormal ]]''' {{Template:APIComment|Whether Normal is the best fit option}}
*'''[[AllowLognormal ]]''' {{Template:APIComment|Whether Lognormal is the best fit option}}
*'''[[WeibullBestFitOptions.AllowLognormal ]]''' {{Template:APIComment|Whether Lognormal is the best fit option}}
*'''[[AllowWeibull2 ]]''' {{Template:APIComment|Whether Weibull2 is the best fit option}}
*'''[[WeibullBestFitOptions.AllowWeibull2 ]]''' {{Template:APIComment|Whether Weibull2 is the best fit option}}
*'''[[AllowWeibull3 ]]''' {{Template:APIComment|Whether Weibull3 is the best fit option}}
*'''[[WeibullBestFitOptions.AllowWeibull3 ]]''' {{Template:APIComment|Whether Weibull3 is the best fit option}}
*'''[[AllowGamma ]]''' {{Template:APIComment|Whether Gamma is the best fit option}}
*'''[[WeibullBestFitOptions.AllowGamma ]]''' {{Template:APIComment|Whether Gamma is the best fit option}}
*'''[[AllowGenGamma ]]''' {{Template:APIComment|Whether GenGamma is the best fit option}}
*'''[[WeibullBestFitOptions.AllowGenGamma ]]''' {{Template:APIComment|Whether GenGamma is the best fit option}}
*'''[[AllowLogistic ]]''' {{Template:APIComment|Whether Logistic is the best fit option}}
*'''[[WeibullBestFitOptions.AllowLogistic ]]''' {{Template:APIComment|Whether Logistic is the best fit option}}
*'''[[AllowLoglogistic ]]''' {{Template:APIComment|Whether Loglogistic is the best fit option}}
*'''[[WeibullBestFitOptions.AllowLoglogistic ]]''' {{Template:APIComment|Whether Loglogistic is the best fit option}}
*'''[[AllowGumbel ]]''' {{Template:APIComment|Whether Gumbel is the best fit option}}
*'''[[WeibullBestFitOptions.AllowGumbel ]]''' {{Template:APIComment|Whether Gumbel is the best fit option}}
*'''[[Analysis ]]''' {{Template:APIComment|WSets ALTA solver model to MLE}}
*'''[[WeibullBestFitOptions.Analysis ]]''' {{Template:APIComment|WSets ALTA solver model to MLE}}
*'''[[RankingMethod ]]''' {{Template:APIComment|Sets ranking method}}
*'''[[WeibullBestFitOptions.RankingMethod ]]''' {{Template:APIComment|Sets ranking method}}
*'''[[UseRSRegression ]]''' {{Template:APIComment|Whether or not to use RSRegression}}
*'''[[WeibullBestFitOptions.UseRSRegression ]]''' {{Template:APIComment|Whether or not to use RSRegression}}
*'''[[ConfBounds ]]''' {{Template:APIComment|Sets Confidence Bounds}}
*'''[[WeibullBestFitOptions.ConfBounds ]]''' {{Template:APIComment|Sets Confidence Bounds}}
*'''[[UngroupGroupedData ]]''' {{APIComment|Whether or not data is ungrouped data}}
*'''[[WeibullBestFitOptions.UngroupGroupedData ]]''' {{APIComment|Whether or not data is ungrouped data}}
*'''[[SortBeforeCalculations ]]''' {{Template:APIComment|Whether or not data is sorted before calculations.}}
*'''[[WeibullBestFitOptions.SortBeforeCalculations ]]''' {{Template:APIComment|Whether or not data is sorted before calculations.}}
*'''[[WeibullBestFitOptions.UseSpecialSort ]]''' {{Template:APIComment|Whether or not to sort.}}
 
*'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|Inherit the class, override its methods and assign its instance to the Events property of a Weibull data set to be able to handle its events.}}
*'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|Inherit the class, override its methods and assign its instance to the Events property of a Weibull data set to be able to handle its events.}}
*'''[[Message]]''' {{Template:APIComment|Called by ‘sender’ when a message should be displayed.}}
*'''[[Message]]''' {{Template:APIComment|Called by ‘sender’ when a message should be displayed.}}

Revision as of 20:55, 16 September 2013


Constructors

  • WeibullSolverDistribution Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, G_Gamma, Logistic, Loglogistic, Gumbel, Gamma, and Bayesian distribution.
  • WeibullSolverNumParameters Available Weibull solver distribution parameters. This includes MS_1Parameter, MS_2Parameter, MS_3Parameter, and MS_Mixed.
  • WeibullSolverMethod Available Weibull solver analysis methods. This includes RRX, RRY, and MLE.
  • WeibullSolverRankMethod Available Weibull solver ranking methods. This includes Median, kaplanMeir, and Actuarial.
  • WeibullSolverCBMethod Available Weibull solver confidence bounds methods. This includes FisherMatrix, LikeihoodRatio, BetaBinomial, and KTO.
  • WeibullBayesianPriorDistribution Available Weibull-Bayesian distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.
  • WeibullBayesianResultsOption Available Bayesian Weibull-Bayesian result options. This includes Median and Mean.

Properties

  • WeibullGeneralOptions Weibull solver general options
  • WarnNegLocation Whether to generate a warning if location parameter is negative.
  • DiscardNegLocation For rank regression, resets location parameter to 0. For MLE finds the maximum in the possible domain.
  • ResetExpLocation For exponential distribution with rank regression, if the location parameter is greater than the first time-to-failure (T1), it is reset to T1.
  • Use3PTrueMLE Whether to use a full MLE solution on 3-parameter Weibull.
  • UseExtendedGGamma If set to true, allows the Lambda parameter in the Generalized Gamma distribution to be negative.
  • AllowBiasingNormal If set to true and using normal distribution (complete data only), corrects the MLE Std (sigma) for biasedness.
  • UsePlottedYPoints If set to true, uses computed plot points in obtaining D for Kolmogorov-Smirnov test.
  • WeibullAnalysisOptions Weibull solver analysis options
  • WeibullEvents Inherit the class, override its methods and assign its instance to the Events property of a Weibull data set to be able to handle its events.
  • Message Called by ‘sender’ when a message should be displayed.
  • Question Called by ‘sender’ when an answer to the question is required.
  • GetDistrParameters Called by ‘sender’ when additional input is required.
  • UpdateCalculationProgress Called by ‘sender’ when calculation progress should be updated.
  • ShowCalculationProgress Called by ‘sender’ when calculation progress should be shown.
  • HideCalculationProgress Called by ‘sender’ when calculation progress should be hidden.